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path: root/experiments/augment/0.yaml
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type: classification
lr: 0.01
batch_size: 100
batch_norm: true
epochs: 30
augmentations:
  - rotation: 0
convolutions:
  - in_channels: 1
    out_channels: 8
    size: 11
    padding: 5
  - in_channels: 8
    out_channels: 16
  - in_channels: 16
    out_channels: 16
  - in_channels: 16
    out_channels: 16
    max_pool: true
  - in_channels: 16
    out_channels: 32
    max_pool: true
  - in_channels: 32
    out_channels: 64
    max_pool: true
  - in_channels: 64
    out_channels: 128
  - in_channels: 128
    out_channels: 256
linears:
  - in_features: 2304
    out_features: 1024
  - in_features: 1024
    out_features: 512
  - in_features: 512
    out_features: 150
  - in_features: 150
    out_features: 150